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socio-economic-indicators

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Exploration and analysis of socio-economic and health data from 167 countries using MATLAB. Application of clustering algorithms to identify development patterns, visualize disparities, and understand global trends.

  • Updated Nov 27, 2024
  • MATLAB

An R-based walkthrough demonstrating how to leverage the tidycensus package to query and analyze U.S. Census data at the census tract and block group level. This project provides reproducible workflows for analyzing demographic and economic data, facilitating socio-ecological analyses across the country and within selected states states.

  • Updated May 5, 2025

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